awesome-of-long-tailed-recognition
github.com/zzw-zwzhang/awesome-of-long-tailed-recognition ↗A curated list of long-tailed recognition resources.
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202120202019201820172016Previous VenuesarXivImbalanced Learning
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arXiv
- Adjusting Decision Boundary for Class Imbalanced Learning
2019.12.04
- Balanced Meta-Softmax for Long-Tailed Visual Recognition
2020.07.21
- Convolution and Convolution-root Properties of Long-tailed Distributions
2015.01.29
- Deep Active Learning over the Long Tail
2017.11.02
- EL: An Early-Exiting Framework for Long-tailed Classification
2020.06.22
- Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization
2020.06.29
2021
- Bag of Tricks for Long-Tailed Visual Recognition with Deep Convolutional Neural Networks
AAAI
- Contrastive Learning based Hybrid Networks for Long-Tailed Image Classification
CVPR
- Distribution Alignment: A Unified Framework for Long-tail Visual Recognition
CVPR
- Improving Calibration for Long-Tailed Recognition
CVPR
- Label-Imbalanced and Group-Sensitive Classification under Overparameterization
NeurIPS
- LONG-TAILED RECOGNITION BY ROUTING DIVERSE DISTRIBUTION-AWARE EXPERTS
ICLR
2020
- Balanced Activation for Long-tailed Visual Recognition
ECCV-W
- BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition
CVPR
- Decoupling Representation and Classifier for Long-Tailed Recognition
ICLR
- Deep Generative Model for Robust Imbalance Classification
CVPR
- Deep Representation Learning on Long-tailed Data: A Learnable Embedding
CVPR
- Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets
ECCV
Previous Venues
- Borderline-SMOTE: A New Over-Sampling Method in Imblanced Data Sets Learning
ICIC
- Classification of Imbalanced Data by Combining the Complementary Neural Network and SMOTE Algorithm
ICONIP
- Inverse Random under Sampling for Class Imbalance Problem and its Application to Multi-label Classification
PR
- SMOTE: Synthetic Minority Over-sampling Technique
JAIR
2019
- Class-Balanced Loss Based on Effective Number of Samples
CVPR
- Dynamic Curriculum Learning for Imbalanced Data Classification
ICCV
- Feature Transfer Learning for Face Recognition with Under-Represented Data
CVPR
- Large-Scale Long-Tailed Recognition in an Open World
CVPR
- Learning for Tail Label Data: A Label-Specific Feature Approach
IJCAI
- Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
NeurIPS
2017
2018
Showing a sample of 68 resources. View the full list on GitHub →